Soft string-to-dependency hierarchical machine translation
Jan-Thorsten Peter, Matthias Huck, Hermann Ney, Daniel Stein
Abstract
In this paper, we dissect the influence of several target-side dependency-based extensions to hierarchical machine translation, including a dependency language model (LM). We pursue a non-restrictive approach that does not prohibit the production of hypotheses with malformed dependency structures. Since many questions remained open from previous and related work, we offer in-depth analysis of the influence of the language model order, the impact of dependency-based restrictions on the search space, and the information to be gained from dependency tree building during decoding. The application of a non-restrictive approach together with an integrated dependency LM scoring is a novel contribution which yields significant improvements for two large-scale translation tasks for the language pairs Chinese–English and German–French.- Anthology ID:
- 2011.iwslt-papers.8
- Volume:
- Proceedings of the 8th International Workshop on Spoken Language Translation: Papers
- Month:
- December 8-9
- Year:
- 2011
- Address:
- San Francisco, California
- Editors:
- Marcello Federico, Mei-Yuh Hwang, Margit Rödder, Sebastian Stüker
- Venue:
- IWSLT
- SIG:
- SIGSLT
- Publisher:
- Note:
- Pages:
- 246–253
- Language:
- URL:
- https://aclanthology.org/2011.iwslt-papers.8
- DOI:
- Cite (ACL):
- Jan-Thorsten Peter, Matthias Huck, Hermann Ney, and Daniel Stein. 2011. Soft string-to-dependency hierarchical machine translation. In Proceedings of the 8th International Workshop on Spoken Language Translation: Papers, pages 246–253, San Francisco, California.
- Cite (Informal):
- Soft string-to-dependency hierarchical machine translation (Peter et al., IWSLT 2011)
- PDF:
- https://preview.aclanthology.org/improve-issue-templates/2011.iwslt-papers.8.pdf